日本地球惑星科学連合2021年大会

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セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS05] 大気化学

2021年6月6日(日) 13:45 〜 15:15 Ch.08 (Zoom会場08)

コンビーナ:中山 智喜(長崎大学 大学院水産・環境科学総合研究科)、齋藤 尚子(千葉大学環境リモートセンシング研究センター)、豊田 栄(東京工業大学物質理工学院)、内田 里沙(一般財団法人 日本自動車研究所)、座長:峰島 知芳(国際基督教大学)

14:00 〜 14:15

[AAS05-13] NOX emission estimation over Japan based on satellite data with wind field divergence

*山口 将大1、金谷 有剛1 (1.国立研究開発法人海洋研究開発機構)

キーワード:窒素酸化物、排出量推定、二酸化窒素、TROPOMI、衛星観測データ

Nitrogen dioxide (NO2) is a form of NOX as important air pollutants, that leads to acid rain, ozone formation, and adverse impacts on human health. Anthropogenic activities involving the fossil fuel combustion such as vehicle engines and power plants are big sources of atmospheric NO2. Despite their importance, it is not easy to create high-resolution emission maps with top-down estimation by direct measurement. In this study, we investigated the wide and detailed NO2 emission map over Japan, based on the divergence of the NO2 horizontal fluxes calculated from the datasets of satellite observation and meteorological model. According to the continuity equation for steady state, the divergence of NO2 flux yields the net balance of sources and sinks. This approach has been demonstrated for the urban scale estimations (Shaiganfar et al., 2011, Shaiganfar et al., 2017, Beirle et al., 2019), and for a global catalog of point sources (Beirle et al., 2020). We also applied this local form of conservation laws to the NO2 emission maps over Japan. Our method used datasets of tropospheric NO2 vertical column density derived from the Sentinal-5P/TROPospheric Ozone Monitoring Instrument (TROPOMI) satellite and wind vector derived from The Meso-Scale Model (MSM). TROPOMI Level 2 data products has daily spatial coverage with high resolution for; 3.5 x 7.0 km2 at beginning of mission in 2018, 3.5 x 5.5 km2 since 6 August 2019. MSM which is one of the numerical weather prediction models operated by JMA provides 51-hour or 39-hour forecasts every 3 hours on 5 km grid all over Japan. Using these datasets, divergence calculations for daily estimation with high spatial resolution can be conducted. Our temporal averaged results showed well linear correlation with NOX emission from EAGrid2010-Japan (Fukui et al., 2014) and revealed clear distribution of point sources.